Teams at Viaduct

Build and maintain production-grade backend systems and infrastructure for deployed AI use cases at manufacturer sites. Own projects end-to-end, write scalable services, query and process data, deploy cloud/edge infra, mentor engineers, and follow security and privacy practices.

Design, build, and operate a purpose-built AWS environment and platform tooling (Terraform, Kubernetes, GitOps) for an internal AI engineering team. Install and integrate Dagster, CI/CD, Okta SSO, and observability; proactively ensure reliability, scalability, security, and cost efficiency; automate toil and collaborate closely with engineers and leadership.

As a Data Engineer, you'll create and support ETL pipelines, ensure data quality, manage schemas, and optimize Spark jobs, collaborating closely with ML teams.